System and method for a partially self-training learning system
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United States of America Patent
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N/A
Issued Date -
Mar 6, 2003
app pub date -
Oct 22, 2001
filing date -
Aug 30, 2001
priority date (Note) -
Abandoned
status (Latency Note)
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Abstract
A method for a partially self-training learning system is disclosed. The learning systems, such as document classifiers, are initially trained on a small amount of hand-sorted data. The learning systems process unlabeled data by assigning classifications to the data. A confidence level in the classification is verified for each newly classified document. If the classification is made with a sufficiently high confidence level, the learning system trains on the word vector of the newly classified document. If the classification of the newly classified document is not made with a sufficiently high confidence level, the learning system does not use the word vector in the newly classified document for training purposes.
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